Machine Learning
Bayesian parameter estimation via variational methods
Statistics and Computing
The Journal of Machine Learning Research
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Propagation Models for Trust and Distrust in Social Networks
Information Systems Frontiers
A survey of trust and reputation systems for online service provision
Decision Support Systems
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Understanding user behavior in online feedback reporting
Proceedings of the 8th ACM conference on Electronic commerce
A regression framework for learning ranking functions using relative relevance judgments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Mixed Membership Stochastic Blockmodels
The Journal of Machine Learning Research
Discovering leaders from community actions
Proceedings of the 17th ACM conference on Information and knowledge management
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Proceedings of the 18th international conference on World wide web
How opinions are received by online communities: a case study on amazon.com helpfulness votes
Proceedings of the 18th international conference on World wide web
The slashdot zoo: mining a social network with negative edges
Proceedings of the 18th international conference on World wide web
Telling experts from spammers: expertise ranking in folksonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
SUNNY: a new algorithm for trust inference in social networks using probabilistic confidence models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Incorporating Participant Reputation in Community-Driven Question Answering Systems
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Ranking Comments on the Social Web
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Collaborative filtering with temporal dynamics
Communications of the ACM
Node discovery in a networked organization
SMC'09 Proceedings of the 2009 international conference on Systems, Man and Cybernetics
Exploiting social context for review quality prediction
Proceedings of the 19th international conference on World wide web
Separating the reputation and the sociability of online community users
Proceedings of the 2010 ACM Symposium on Applied Computing
Building Web Reputation Systems
Building Web Reputation Systems
Quality management on Amazon Mechanical Turk
Proceedings of the ACM SIGKDD Workshop on Human Computation
The Journal of Machine Learning Research
IEEE Transactions on Knowledge and Data Engineering
PedConnect: an intelligent assistant for teacher social networking
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Semi-supervised correction of biased comment ratings
Proceedings of the 21st international conference on World Wide Web
Multi-objective ranking of comments on web
Proceedings of the 21st international conference on World Wide Web
Care to comment?: recommendations for commenting on news stories
Proceedings of the 21st international conference on World Wide Web
Robust detection of comment spam using entropy rate
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Multi-faceted ranking of news articles using post-read actions
Proceedings of the 21st ACM international conference on Information and knowledge management
From Path to Individual: A Distributed Reputation Detection Model for Information Diffusion
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Estimating sharer reputation via social data calibration
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
HeteroMF: recommendation in heterogeneous information networks using context dependent factor models
Proceedings of the 22nd international conference on World Wide Web
CQArank: jointly model topics and expertise in community question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Context-aware review helpfulness rating prediction
Proceedings of the 7th ACM conference on Recommender systems
The perception of others: inferring reputation from social media in the enterprise
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Reputable users are valuable assets of a web site. We focus on user reputation in a comment rating environment, where users make comments about content items and rate the comments of one another. Intuitively, a reputable user posts high quality comments and is highly rated by the user community. To our surprise, we find that the quality of a comment judged editorially is almost uncorrelated with the ratings that it receives, but can be predicted using standard text features, achieving accuracy as high as the agreement between two editors! However, extracting a pure reputation signal from ratings is difficult because of data sparseness and several confounding factors in users' voting behavior. To address these issues, we propose a novel bias-smoothed tensor model and empirically show that our model significantly outperforms a number of alternatives based on Yahoo! News, Yahoo! Buzz and Epinions datasets.